T
Terence Newby
Publications - 3
Citations - 498
Terence Newby is an academic researcher. The author has contributed to research in topics: Agriculture & Land cover. The author has an hindex of 3, co-authored 3 publications receiving 383 citations.
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Mapping global cropland and field size
Steffen Fritz,Linda See,Ian McCallum,Liangzhi You,A. Bun,Elena Moltchanova,Elena Moltchanova,Martina Duerauer,Fransizka Albrecht,Christian Schill,Christoph Perger,Petr Havlik,Aline Mosnier,Philip K. Thornton,Ulrike Wood-Sichra,Mario Herrero,Inbal Becker-Reshef,Christopher O. Justice,Matthew C. Hansen,Peng Gong,Sheta Abdel Aziz,Anna Cipriani,Anna Cipriani,Renato Cumani,Giuliano Cecchi,Giulia Conchedda,S.C. Ferreira,Adriana Gomez,Myriam Haffani,Francois Kayitakire,Jaiteh Malanding,Rick Mueller,Terence Newby,Andre Nonguierma,A Adeaga Olusegun,Simone Ortner,D. Ram Rajak,Jansle Vieira Rocha,Dmitry Schepaschenko,M. Schepaschenko,Alexey Terekhov,Alex Tiangwa,Christelle Vancutsem,Elodie Vintrou,Wu Wenbin,Marijn van der Velde,A. Dunwoody,Florian Kraxner,Michael Obersteiner +48 more
TL;DR: The first ever global field size map was produced at the same resolution as the IIASA-IFPRI cropland map based on interpolation of field size data collected via a Geo-Wiki crowdsourcing campaign.
Journal ArticleDOI
Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning
Inbal Becker-Reshef,C. Justice,Brian Barker,M. L. Humber,Felix Rembold,Rogerio Bonifacio,Mario Zappacosta,Mike Budde,Tamuka Magadzire,Chris Shitote,Jonathan Pound,Alessandro Constantino,Catherine Nakalembe,K. Mwangi,Shinichi Sobue,Terence Newby,A. K. Whitcraft,Ian Jarvis,James P. Verdin +18 more
Journal ArticleDOI
National-scale cropland mapping based on spectral-temporal features and outdated land cover information.
François Waldner,Matthew C. Hansen,Peter Potapov,Fabian Löw,Terence Newby,S.C. Ferreira,Pierre Defourny +6 more
TL;DR: This paper presents a method enabling the automated production of spatially consistent cropland maps at the national scale, based on spectral-temporal features and outdated land cover information, and suggests that intensive grain-growing areas were better characterized than smallholder farming systems.